Latest AI and machine learning research in medicolegal for healthcare professionals.
BACKGROUND: The integration of artificial intelligence (AI) and large language models (LLMs) into surgical practice is increasingly being explored, but real-world usage patterns and barriers remain insufficiently characterized. This multinational survey assessed self-reported AI/LLM use, perceived benefits, and requirements for routine implementation among general surgeons in German-speaking count...
BACKGROUND: Documentation burden in the electronic health record (EHR), including clinical note writing, inbox management, and order entry, contributes to clinician inefficiency and burnout. Ambient artificial intelligence (AI) documentation tools can generate draft clinical notes for clinician review and have been shown to reduce documentation burden among physicians and advanced practice provide...
AI is a medical education tool, yet its potential to foster morphologic reasoning remains underexplored. Histology students often struggle to move bey...
BACKGROUND: Large language models (LLMs) have shown potential in medical text generation. Senior physician ward round records are critical documents w...
Nursing documentation is a fundamental component of safe clinical practice, supporting effective communication, continuity of care and patient safety....
BACKGROUND: Aspartame (APM), a widely used sweetener, has been linked to cancers, yet its molecular impact on metabolic dysfunction-associated steatot...
RNA structure is fundamental to its diverse biological functions. Current chemical probing methods, coupled with next-generation sequencing, offer ins...
Artificial intelligence (AI) is increasingly integrated into healthcare systems, offering transformative opportunities in diagnostics, treatment perso...
Three-dimensional (3D) printing technology, or additive manufacturing, has fundamentally transformed medical paradigms by shifting dentistry from trad...
BACKGROUND: Shared decision-making (SDM) is a cornerstone of patient-centred care, yet it has been underused in radiology. OBJECTIVE: To translate res...
BACKGROUND: Most US health systems operate on a local or regional scale and face substantial financial and staffing pressures, which are intensified b...
OBJECTIVE: To provide Australian intensive care clinicians with a pragmatic framework for the safe integration of large language models (LLMs) into in...
Domain-specific evaluation is essential for clinical validation. We propose S.C.O.R.E. (Safety, Consensus & Context, Objectivity, Reproducibility, Exp...
This study investigates the formation of zinc oxide (ZnO) nanoparticles, a material of significant technological interest with complex structural prop...
Personal health large language models (PH-LLMs) are patient-facing conversational systems that synthesize user-entered information, patient-generated ...
BACKGROUND AND AIMS: High-quality, annotated datasets are fundamental to clinical research and artificial intelligence (AI) model development. Existin...
BackgroundThe surgical workforce in the United States is aging while artificial intelligence (AI) tools are increasingly integrated into clinical prac...
Semiconductor device architectures are becoming more complex, and process tolerances are tightening; therefore, plasma-based manufacturing increasingl...
Histological assessment is foundational to multi-omics studies of liver disease, yet conventional fibrosis staging lacks resolution, and quantitative ...
Releases from nuclear or radiological security events can result in significant internal radiation contamination through inhalation of particulate con...